TumorInsight is a Brain Tumor Detection and Classification model built using RESNET50 architecture. It aims to detect and classify the brain tumours from MRI scans. The detection is done using Image Processing algorithms and classification using Deep learning techniques.
The model is also deployed as a web application using Flask framework.

In addition, you can also customize the following properties according to the need.

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Project is designed to be easy to use. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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Finally, call func(arg) in main()

def func(arg):
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func(input())

• Xcode 10.2.1
• Swift 5.0

Follow these steps to use this project.

1. Clone the repository.
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Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/NewFeature)
3. Commit your Changes (git commit -m 'Add some NewFeature')
4. Push to the Branch (git push origin feature/NewFeature)
5. Open a Pull Request

Pranav Khurana